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algorithmic-stablecoins-failures-and-future
Blog

The Cost of a Single Point of Failure: Analyzing UST's Peg

A first-principles autopsy of the Terra collapse. We dissect the fatal flaw in UST's design—a single, reflexive arbitrage loop with LUNA—and extract the immutable lessons for the next generation of decentralized money.

introduction
THE SINGULARITY

Introduction

The UST depeg was a failure of centralized control masquerading as a decentralized stablecoin.

A centralized failure vector defined UST's collapse. The peg relied on a single, manually-triggered arbitrage mechanism between UST and LUNA, creating a predictable attack surface. This contrasts with multi-basket collateral models like MakerDAO's DAI or the multi-chain minting of USDC.

The 'algorithmic' label was a misnomer. The system required constant, centralized intervention from the Luna Foundation Guard (LFG) to maintain stability, exposing a critical dependency on human actors. This is the antithesis of trust-minimized systems like Uniswap's constant product formula.

Evidence: The LFG's $3 billion BTC reserve was depleted in three days during the death spiral, proving that off-chain reserves cannot defend an on-chain peg against reflexive, network-level panic.

deep-dive
THE SINGLE POINT OF FAILURE

The Mechanics of a Death Spiral

The UST peg collapsed because its core stabilization mechanism created a reflexive feedback loop that amplified sell pressure.

Algorithmic arbitrage was the trigger. The peg relied on a burn-and-mint mechanism between UST and LUNA. Users could always burn $1 of UST to mint $1 of LUNA, creating a synthetic buy pressure. This mechanism inverted during a loss of confidence, becoming a liquidity siphon.

The feedback loop was reflexive. Selling UST below peg created an arbitrage opportunity to burn it for discounted LUNA. This increased LUNA's supply, diluting its price. A falling LUNA price destroyed the collateral backing for the entire system, accelerating UST selling.

Compare to MakerDAO's multi-asset design. Maker's DAI uses overcollateralization with diversified assets (ETH, wBTC, real-world assets). Its stability fee and surplus buffer act as non-reflexive dampeners. UST's design had no circuit breakers.

Evidence: The Anchor Protocol yield anchor. UST's stability depended on Anchor Protocol's 20% APY to drive demand. When reserves depleted, the yield dropped, removing the primary demand driver and exposing the structural fragility of the arbitrage mechanism.

UST PEG COLLAPSE ANALYSIS

The Contagion Cascade: Key On-Chain Metrics

Comparative on-chain metrics for UST, DAI, and USDC, highlighting the systemic vulnerabilities exposed by the Terra collapse.

On-Chain MetricUST (Terra)DAI (Maker)USDC (Circle)

Primary Backing Asset

Volatile Algorithmic (LUNA)

Overcollateralized Crypto (ETH, WBTC)

Off-Chain Cash & Treasuries

De-Peg Event (May '22) Max Deviation

-99.9%

-5.7%

-0.3%

Critical Collateral Ratio (Pre-Collapse)

N/A (Algorithmic)

~150%

100%+ (Cash Backed)

Dominant Liquidity Venue

Curve 4pool, Anchor Protocol

DeFi Lending (Compound, Aave)

Centralized Exchanges, DeFi

TVL Impact on DeFi (30d from peak)

-$28B (Terra Ecosystem)

-$15B (Ethereum DeFi)

-$7B (General Contagion)

Oracle Reliance for Stability

High (LUNA price feed)

Critical (Collateral price feeds)

Low (Off-chain attestations)

Single-Point-of-Failure Identified

Anchor Protocol Yield (19.5% APY)

ETH Price Crash (Black Thursday)

Banking Partner Solvency

Post-Crisis Market Cap Change (90d)

-100%

-35%

+5%

counter-argument
THE SINGLE POINT OF FAILURE

The Bull Case, Refuted

UST's algorithmic peg was a fragile construct that collapsed under its own economic contradictions.

The core mechanism was flawed. The peg relied on a reflexive arbitrage loop between LUNA and UST, creating a circular dependency that amplified volatility instead of dampening it.

Anchor Protocol was the fatal subsidy. The 20% yield created artificial demand, masking the structural weakness in the core mint/burn mechanism. This was a subsidy, not organic utility.

The peg was a confidence game. Unlike MakerDAO's overcollateralized DAI or Frax Finance's hybrid model, UST's algorithmic design lacked a hard asset backstop, making it purely reflexive.

Evidence: The death spiral triggered when UST depegged by 5%. The arbitrage mechanism inverted, burning UST to mint infinite LUNA supply, collapsing both assets' value to zero.

takeaways
DECONSTRUCTING UST

Architectural Imperatives for the Next Stablecoin

UST's collapse wasn't a black swan; it was a predictable failure of a reflexive, single-point-of-failure design. The next generation must be architected for resilience.

01

The Problem: Reflexive Collateral is a Death Spiral

UST's peg relied on a reflexive feedback loop between its native token (LUNA) and the stablecoin itself. De-pegs triggered arbitrage that minted unlimited LUNA supply, collapsing its value and destroying the collateral base.

  • Death Spiral: Peg break → LUNA minted → Hyperinflation → Total loss.
  • No Sink: The system had no independent, exogenous asset sink to absorb sell pressure.
  • $40B+ Evaporated: Market cap destruction demonstrated the catastrophic failure mode.
$40B+
Value Destroyed
99.9%
LUNA Collapse
02

The Solution: Exogenous, Overcollateralized Reserves

Resilience requires collateral that is external to the protocol's own tokenomics and held in excess of liabilities. This creates a non-reflexive buffer.

  • MakerDAO's Blueprint: DAI's stability is backed by ~150%+ collateralization in ETH, stables, and RWAs.
  • Liquity's Innovation: $0.8B+ in ETH backing LUSD, with a minimum 110% ratio enforced by a stability pool.
  • Sink Function: Sell pressure is absorbed by reserve assets, not by minting a death-spiral token.
150%+
Collateral Ratio
$0.8B+
ETH Buffer (Liquity)
03

The Problem: Centralized Oracle Reliance

Algorithmic stablecoins require price feeds. UST's peg mechanism depended on a few centralized oracles (e.g., Binance, Coinbase) for the LUNA-UST exchange rate. Manipulation or downtime of these feeds could cripple the system.

  • Single Point of Failure: A handful of API endpoints governed $18B+ in TVL.
  • Oracle Attack Surface: Feed lag or manipulation directly attacks the core peg mechanism.
  • No Decentralized Verification: The system lacked a robust, decentralized truth source like Chainlink's 750+ node network.
~3
Key Oracles
750+
Chainlink Nodes
04

The Solution: Redundant, Decentralized Oracle Networks

Critical price data must be sourced from multiple, independent, Sybil-resistant nodes with economic security. This eliminates single points of failure and manipulation vectors.

  • Chainlink Standard: $10B+ in value secured by decentralized oracle networks (DONs) across DeFi.
  • Pyth Network: Leverages 90+ first-party data providers from TradFi and CeFi, with on-chain attestation.
  • Fallback Mechanisms: Protocols must design with graceful degradation, using time-weighted averages and circuit breakers if feeds diverge.
90+
Data Providers (Pyth)
$10B+
Value Secured
05

The Problem: Unbounded, Unmanaged Risk

UST's Anchor Protocol offered a ~20% yield sourced purely from protocol subsidies and new capital inflow—a textbook Ponzi. This attracted $14B in TVL of yield-seeking, not utility-driven, capital that fled at the first sign of trouble.

  • Ponzi Dynamics: Yield was not backed by sustainable revenue (e.g., lending interest, fees).
  • Hyper-growth Trap: Subsidized yield inflated TVL, creating a larger, more fragile system.
  • No Risk Parameters: No dynamic adjustments for collateral volatility or liquidity depth.
20%
Unsustainable Yield
$14B
TVL in Anchor
06

The Solution: Yield from Real Revenue & Dynamic Risk Parameters

Sustainable stability requires yield generated from real economic activity (fees, interest) and algorithmic risk management that adjusts to market conditions.

  • MakerDAO's Surplus Buffer: Protocol revenue from stability fees feeds a surplus buffer, which can be used to defend the peg or buy back DAI.
  • Aave's Risk Framework: Dynamic Loan-to-Value (LTV) ratios and liquidation thresholds are adjusted per asset based on volatility and liquidity.
  • Frax Finance's Hybrid Model: Part-algorithmic, part-collateralized with a AMO (Algorithmic Market Operations Controller) that dynamically expands/contracts supply based on peg pressure.
AMO
Frax Controller
Dynamic LTV
Aave's Lever
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Why UST Failed: The Single Point of Failure in Algorithmic Stablecoins | ChainScore Blog